Would Your Business Survive a Black Friday and Cyber Monday Cyberattack? from Darshana Manikkuwadura (Dash) As retailers prepare for the year’s biggest sales events, Black Friday and Cyber Monday also bring an unprecedented wave of cyber threats. While traffic spikes, carts fill, and revenue surges, cybercriminals see the perfect opportunity to blend into the noise and strike. This post explores how modern attacks—driven by automation, AI-powered bots, API exploitation, ransomware, and account takeovers—are evolving faster than many retail defenses can keep up. With customer trust already fragile and only a small percentage of consumers confident in retailers’ ability to protect their data, the impact of a breach during peak season can be devastating. From API-targeted bots that imitate human behaviour to client-side threats like Magecart and large-scale ransomware attacks that freeze entire operations, retailers face risks that go far beyond traditional cybersecurity challenges. This post breaks down the critical vulnerabilities exposed during high-traffic periods, explains why identity, data, and application security must work together, and highlights how Thales’ platforms—CipherTrust, OneWelcome, and Application Security—help businesses build resilience year-round. In a season where every second counts and every transaction matters, retailers must be ready to protect their systems, customers, and brand from the modern threat landscape. #Cybersecurity #Thales #BlackFriday #RetailSecurity #DataProtection #IdentitySecurity #APIProtection #BotDefense #RansomwareProtection #CISO #EnterpriseSecurity #CyberResilience #DigitalTrust #CipherTrust #OneWelcome #ApplicationSecurity #IAM #CloudSecurity #ThreatIntelligence #DataSecurity #darshanamanikkuwadura Darshana Manikkuwadura (Dash)
Advanced Retail Security Solutions
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Summary
Advanced retail security solutions use modern technology and data-driven strategies to protect stores from threats like theft, cyberattacks, and robbery. These systems go beyond traditional alarms and cameras, incorporating innovations such as AI, fog machines, and secure wireless networks to keep both assets and people safe.
- Embrace proactive technology: Consider using tools like AI-powered computer vision and fog security machines that prevent crime before it happens and help ensure shopper safety.
- Integrate threat intelligence: Use detailed, location-specific data to identify risk levels and allocate security resources where they're needed most.
- Secure all connections: Make sure your wireless networks—including cellular links for point-of-sale and security devices—are monitored and protected to avoid blind spots that criminals can exploit.
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--->Store Owner Developing Fog Machine to Thwart Robbery Attempts: In an inspiring story of innovation born from necessity, a local store owner transformed a dangerous situation into an opportunity to improve security technology. After experiencing repeated robbery attempts, the store owner decided to take matters into his own hands not by increasing guards or installing more cameras, but by developing a fog security machine designed to protect both people and property through smart prevention. When a robbery attempt occurs, the fog machine can be activated either manually by pressing a hidden switch or automatically through motion sensors or alarm triggers. Within seconds, the device releases a thick, white fog that rapidly fills the area. This fog is completely safe, odorless, and residue-free, yet so dense that visibility drops to almost zero. Confused and unable to see their surroundings, the intruders have no choice but to retreat, leaving the store and its occupants unharmed. >>Purpose and Innovation: The store owner’s invention highlights the growing shift from traditional, reactive security measures to proactive prevention systems. Instead of responding after a crime occurs, the fog machine stops the event in progress. It buys valuable time for police to arrive and ensures the safety of employees and customers. This technology represents a balance between innovation, safety, and practicality. It doesn’t rely on violence or confrontation; instead, it uses science and quick thinking to disarm a dangerous situation in the safest way possible. Key Features and Advantages 1.Instant Defense Mechanism: The fog activates within seconds, filling the entire space and blocking visibility completely. 2.Safe and Non-Toxic: Made from water-based compounds, the fog leaves no residue, odor, or damage to products or equipment. 3.Highly Effective Deterrent: Criminals are disoriented and forced to abandon their attempt, reducing both theft and potential harm. 4.Affordable and Low Maintenance: Once installed, the system requires minimal upkeep and can be integrated with existing alarm systems. 5.Psychological Deterrence: News of such systems discourages repeat offenders and adds an extra layer of protection through fear of the unknown. >>>Impact on Modern Security: The development of the fog security system by an everyday business owner reflects how innovation and experience on the ground can reshape safety practices. It shows that effective security solutions don’t always need to be complex or aggressive — they can be intelligent, humane, and efficient. As this concept gains popularity, more businesses, banks, and warehouses are adopting similar systems. The fog not only protects assets but also helps ensure that no one inside the premises gets hurt. It bridges the gap between technology and human safety in a way that traditional methods rarely achieve.
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We analyzed the immediate threat landscape at 75,434 retail locations across America to create the most comprehensive benchmarks ever. And we’re making all of that analysis available for free. Retailers lack a universal standard for security risks across their company footprint. Too many security teams are stuck prioritizing resources based on gut instinct, lagging incident reports, or city-wide crime stats that miss what's actually happening at your stores. Our US Retail Industry BaseScore Benchmark Report gives you the framework to allocate resources with precision using street-level threat intelligence within 0.25 miles of each location. Inside the free interactive tool available here: https://lnkd.in/eECVYmFM • National and regional risk benchmarks (regional variation is big) • Individual benchmarks for the top 100 US retailers by sales • State-by-state comparisons • Granular threat breakdowns (property crime, violent crime, unrest) • A case study showing how to benchmark your entire footprint, identify your 10 highest-risk sites, and conduct standardized threat assessments This isn't city-wide, generic crime data. This is sub-mile intelligence broken down by threat type at 75,434 specific locations. Without a universal risk standard, retail security teams are left guessing. You're defending budget requests with anecdotes. You're reacting to incidents instead of preventing them. This benchmark shows what becomes possible when your entire security strategy is grounded in granular, standardized threat intelligence. Prove which stores need security infrastructure. Optimize guard deployments with data. Defend your budget with evidence executives actually understand. The gap between reactive security and strategic security is intelligence.
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I keep seeing the same pattern with multi-site retailers. They spent 12-18 months deploying SD-WAN across their existing locations. Real money. Real complexity. And it works — for the branches they already have. But then they announce 40 new stores opening this year. And suddenly the SD-WAN team is looking at a 14-month deployment cycle for locations that need to be transacting in 90 days. So they call the carrier. Get single-carrier FWA stood up fast. Problem solved, right? Until you ask one question: who's watching the cellular traffic? Your firewall sees your branch. Your SASE platform sees your cloud apps. Neither one sees the cellular connections running your POS terminals, your security cameras, your IoT sensors, your backup links. That's 40-60% of your edge traffic that's completely invisible to your security stack. And it's not theoretical. A camera that normally sends 50MB suddenly pushing 5GB? That's data exfiltration. An unauthorized device connecting to your cellular network at 2 AM? That's a breach in progress. Single-carrier FWA with no security visibility doesn't just create a connectivity risk — it creates a security blind spot across every location you deploy. That's the gap we're closing at Aeris with MergeWiFi. Multi-carrier hardware that switches between networks automatically — not one carrier, three. Device-level security through Aeris IoT Watchtower that sees every SIM, every connection, every anomaly on your cellular network. Zero-trust policy enforcement at the edge before traffic ever hits the public internet. And a single dashboard managing it all across every location. Not SD-WAN complexity. Not consumer FWA with a business label. Not connectivity without security. Secure FWA. Connectivity and protection in the same platform. Nobody else offers both. 4,800+ new retail locations are opening across the country in 2026. None of them should be waiting for fiber. And none of them should be deploying cellular connectivity they can't see or secure. #FWA #IoTSecurity #RetailTechnology #ZeroTrust #Connectivity Jason Heina, Marcus Schmidt, Charlie Todd, John Atchison, Andrew McEldowney, Andy Keehn, Kevin Winchester, KEVIN R. PETSCHOW ✅, Lucas Winchester, Paul Margison, Susanna Song, ROB OLSON, Yazz Krdzalic, Wladimir de Lara Araujo
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💥 🛒 💥 Computer vision can solve retail's $112B shrink problem in ways traditional security never could. The retail industry loses billions every year to theft, fraud, damage, and administrative errors. For the Forbes Technology Council, I shared how AI and computer vision are reshaping how we tackle this challenge. AI-powered computer vision systems analyze customer behavior in real time, detecting anomalies before they turn into losses. They're especially valuable in high-traffic environments where traditional monitoring struggles to scale. A single system can track hundreds of interactions across multiple store sections, flagging issues with precision. But here’s where most AI teams get stuck: understanding why their models fail. Most retail AI systems are black boxes — when something goes wrong, there’s no way to understand why. Why did the system miss a theft? Why did it flag a legitimate customer? With Voxel51, you can visualize what your models see, identify failure patterns, and iterate based on real performance data. By removing guesswork and surfacing actionable insights, teams can confidently develop and deploy production-ready visual Al. Read the full Forbes article: https://lnkd.in/dtadiQv5 Learn how Voxel51 can help with your retail challenges: https://lnkd.in/dpsCBmFk
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Most retailers have a "Blind Spot" problem. Inventory disappears between the loading dock and the shelf. Payroll hours are billed, but packing stations are empty. The problem isn't a lack of cameras. It's a lack of intelligence. At Vizenta, we call this the Retail Lifecycle Platform. By connecting your warehouse and store cameras into a single AI dashboard, we track assets from arrival to departure. In the Warehouse: Stop "ghost shifts" and secure high-value cages. In the Store: Identify shoplifters instantly and automate attendance. We are already doing this for leaders like one of the largest retailers in New York—processing everything on-premise (Edge AI) to ensure speed and privacy. See the "Current vs. Future" breakdown in our latest article. https://lnkd.in/e74CV44R #RetailTech #LossPrevention #SupplyChain #AI #Vizenta
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Attention CPG and Retail Leaders! Are you worried about the impact of cyberattacks on your business? John Havlick banyax shares insights on how cyber breaches can lead to loss of brand trust, market share, and even violate sales fulfillment agreements. To keep your data and your customers' data secure, John recommends these three things: 1. Monitor the web for brand abuse: Proactive AI-enabled monitoring technologies can constantly search the internet for unauthorized use of your brand logos/artwork. This can help identify threats and protect your brand and consumers from being fooled into providing sensitive information such as emails, passwords, and credit card data. Ensure you have the ability to perform take-down services to remove these identified and unauthorized uses of your brand. 2. Monitor the web for domain abuse: CPG/Retail firms' brand names found in website addresses are often slightly altered to look like your brand or legitimate website. Using advanced technology to proactively identify and remediate these instances ensures brand integrity and protects your consumers before problems arise from stolen data. 3. Scan the dark and deep web for your sensitive company/product data: Consumer goods and retail companies are surprised to find their own email addresses, their consumer data, confidential intellectual property (IP) being sold on the deep/dark web by threat actors. Monitoring the lesser-known part of the internet for leaked data, which can be stolen through phishing or provided from disgruntled employees, and proactively identifying risks can reduce exposure. Using advanced technologies to find assets quickly and enlisting professional help to buy back your assets or take other actions is a critical strategy to protecting your IP, trade secrets, and ensuring brand integrity. Don't let cyber breaches damage your business. Protect your brand and consumers by implementing these three strategies today. #cybersecurity #CPG #Retail #brandprotection
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The future of retail security is watching smarter, not harder as AI-powered cameras reshape how stores prevent theft and optimize operations. Modern surveillance systems are no longer just passive observers. They actively detect suspicious behavior in real time, monitor object and shelf-level interactions, and identify repeat offenders where legally permitted. With capabilities like face recognition and automated alerts, these systems can instantly notify authorities when necessary-transforming how incidents are handled. Beyond security, AI also provides valuable operational insights such as store heatmaps and high-shrink SKUs, helping retailers refine staffing, layout, and product placement strategies. This shift matters because it enables retailers to act faster, reduce losses, and make smarter decisions—without compromising the customer experience. Still, the power of these tools comes with responsibility. Human oversight, legal compliance, and careful system tuning are critical to avoid false positives and protect privacy. AI is not replacing human judgment, but enhancing it. The real advantage lies in how intelligently we apply it.
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🔒 Holiday retail operations are under siege — and the threat goes far beyond Black Friday. According to new ransomware threat intelligence from the Halcyon's Ransomware Research Center, attackers are deliberately timing campaigns to coincide with peak shopping periods when retailers have zero tolerance for downtime and security teams may be stretched thin. From vendor and third-party access weaknesses to advanced evasion techniques and double-extortion data theft, the modern ransomware playbook is engineered to disrupt e-commerce platforms, POS systems, logistics, and customer trust — often before defenders even know they’re under attack. To protect holiday revenue and brand reputation, retailers need a defense strategy that goes well beyond traditional tools. The blog highlights critical defensive actions including: ✅ Strengthening identity and access controls ✅ Accelerated patching and network segmentation ✅ Dedicated anti-ransomware protections ✅ Immutable backups and tested recovery plans ✅ Robust incident response playbooks tailored to retail environments 📌 Ransomware isn’t just a tech problem — it’s a business continuity issue. Preventing attacks before they execute and preparing for fast recovery is essential to keep operations running when it matters most. 👉 Read the full insights here: https://lnkd.in/enBWzCRQ #cybersecurity #retailsecurity #ransomware #holidayseason #infosec #businesscontinuity
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The latest NRF–Loss Prevention Research Council–Sensormatic 2025 report should make every retail operations leader sit up straight. Shoplifting incidents rose 18% but somehow stores are still asked to “operate normally.” Threats and acts of violence jumped 17% ...a number we would never tolerate in any other industry. And ORC is no longer a “shoplifter problem.” Retailers report: 1. 70% increase in phone scams 2. 55% rise in digital/e-commerce fraud 3. 52% in merchandise theft 4. 50% cargo/supply-chain theft Retailers aren’t fighting shoplifters anymore.... they’re fighting a 𝐦𝐮𝐥𝐭𝐢-𝐜𝐡𝐚𝐧𝐧𝐞𝐥 𝐜𝐫𝐢𝐦𝐞 𝐞𝐜𝐨𝐬𝐲𝐬𝐭𝐞𝐦. Here’s the uncomfortable truth most boardrooms still ignore: 𝐄𝐯𝐞𝐫𝐲 𝐨𝐩𝐞𝐫𝐚𝐭𝐢𝐨𝐧𝐚𝐥 𝐠𝐚𝐩 𝐢𝐬 𝐧𝐨𝐰 𝐚 𝐬𝐞𝐜𝐮𝐫𝐢𝐭𝐲 𝐠𝐚𝐩. Missing VM displays, broken SOPs, absent store walk-throughs, outdated checklists - all become friction points where risk enters the system. Which is why compliance isn’t “aesthetic hygiene” anymore. It’s 𝐟𝐫𝐨𝐧𝐭-𝐥𝐢𝐧𝐞 𝐫𝐢𝐬𝐤 𝐦𝐚𝐧𝐚𝐠𝐞𝐦𝐞𝐧𝐭. Modern ops leaders are shifting to: 1. Real-time compliance tracking 2. AI-powered anomaly detection 3. Instant escalation workflows 4. Visual proof-of-execution 5. Store-level risk heatmaps Because when threats evolve every month, running operations on 48-hour delays and manual audits is not “cost saving.” It’s 𝐫𝐢𝐬𝐤 𝐚𝐦𝐨𝐫𝐭𝐢𝐳𝐚𝐭𝐢𝐨𝐧 and the bill always comes due. #RetailOperations #LossPrevention #RiskManagement #RetailSecurity #AIinRetail #OperationalExcellence